Reos

Reos is a customer research operating system: According to its official website, it allows you to plan research, recruit participants, conduct interviews, collect ticket feedback, and generate traceable insights in one system. Each conclusion can be linked back to the interview time point or the original ticket text.

AI Market Research#Customer research#source tracking#Automated content

Updated: 2026-10-27

What is Reos?

The official website of Reos positions itself as the research operating system, aiming to solve the common fragmentation in customer research: interviews, feedback, and reports are scattered across multiple tools, conclusions disappear after being presented once, and fixes are not tracked. The official website outlines a workflow of Plan, Recruit, Conduct, Analyze, Act, with a focus on the final step—ensuring that insights reach the people responsible for implementing fixes and the clients who submitted the requests.

Who is it for?

Product and experience teams that need to unify interviews, customer service, surveys, and product feedback into a single research repository.
Research leaders who want to scale up interviews using AI while ensuring every conclusion can be traced back to its original source.
Teams that support continuous extraction of problem causes and improvement suggestions from work orders.
Enterprises with compliance requirements who need SSO, SAML, SCIM, PII processing, and the option of hosting in the US or Europe.

Key features

One System for the Entire Workflow

The official website states that it enables planning, recruitment, interviews, analysis, and action; recruitment can be initiated from the participant panel connected to the CRM, and every invitation can be tracked.

AI-hosted interviews

The official website states that an AI moderator can conduct interviews in any language and around the clock; for in-person interviews, the platform also supports scheduling, recording, transcription, and arranging observers.

Multi-source Integration

The official website states that it supports tickets, forwarded emails, forms, audio and video, transcribed text, and datasets. Once imported, the content is automatically transcribed, structured, and prepared for analysis.

Four-stage analysis pipeline

Officially referred to as DIVE, it consists of Decode, Improve, Validate, and Enrich in sequence; each subsequent stage reviews the previous one, and conclusions unsupported by the source are discarded.

Trace Insights Back to Sources

The official website states that every claim is linked to the exact source and timestamp; clicking on an insight will take you directly to the specific second of an interview or the exact line of a ticket.

Cross-project accumulation

The official website states that the system will automatically identify patterns and Super Insights across research projects, and new research can be connected to existing interview, survey, and ticket streams.

How to use Reos

First, pick a clear problem to run a small-sample closed loop, check if the generated observations, insights and reports can be linked back to the original text you recognize, and then expand the source access.
Clarify the interview objectives, participant criteria, and review questions.
the official website states that the AI planning assistant can draft plans, guide outlines, and set screening criteria based on these.
Before integrating customer service and forms, sort out fields and sensitive information.
when personal information is involved, confirm applicable compliance processing options.
Pricing is calculated based on research units: according to the official website, one interview, a batch of 100 short feedbacks, or one report each counts as 1 unit, while AI-hosted interviews and audio-video reports count as 2 units each.
If the team only needs to view reports, free viewer seats can be used.
reserve paid seats for the members who truly plan and execute the research.